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Abdominal Fat from Spine Dual-Energy X-Ray Absorptiometry and Risk for Subsequent Diabetes

机译:脊柱双能X线骨密度仪的腹部脂肪和随后患糖尿病的风险

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Context: Abdominal obesity is a major risk factor for diabetes. Dual-energy x-ray absorptiometry (DXA) of the lumbar spine provides an index of abdominal fat.Objective: Our objective was to examine the hypothesis that DXA-derived abdominal fat measurement in women undergoing osteoporosis investigation predicts risk for subsequent diagnosis of diabetes.Design: This historical cohort study was derived from the Manitoba Bone Density Program Database for the Province of Manitoba, Canada.Setting and Patients: 30,252 nondiabetic women aged 40 yr and older were referred for baseline osteoporosis assessment with DXA between January 1990 and March 2007.Main Outcome Measures: Each woman’s longitudinal provincial health service record was assessed for the presence of diabetes diagnosis codes after DXA testing.Results: During 5.2 ± 2.6 yr of observation, 1252 (4.1%) women met the case definition for diabetes. A greater proportion of abdominal fat from spine DXA was strongly related to subsequent diabetes diagnosis in models adjusted for age, body mass index, and other comorbidities. Those in the highest quintile had 3.56 (95% confidence interval = 2.67–4.75) times the risk for subsequent diabetes diagnosis compared with those in the lowest (reference) quintile. Fat from hip DXA was not predictive of subsequent diabetes after adjustment for the same variables (1.00, 95% confidence interval = 0.79–1.26).Conclusions: Predictive information about diabetes risk can be obtained from spine DXA scans performed for osteoporosis risk assessment. This is consistent with evidence linking abdominal fat with insulin resistance and the metabolic syndrome.
机译:背景:腹部肥胖是糖尿病的主要危险因素。腰椎的双能X线骨密度仪(DXA)提供了腹部脂肪的指标。设计:这项历史性队列研究来自加拿大马尼托巴省的马尼托巴省骨密度计划数据库。背景和患者:1990年1月至2007年3月之间,向30252名40岁及以上的非糖尿病女性进行了DXA基线骨质疏松评估。主要结果指标:在DXA测试后评估每位女性的纵向省级医疗服务记录是否存在糖尿病诊断代码。结果:在5.2±2.6年的观察期中,有1252(4.1%)位女性符合糖尿病病例定义。在针对年龄,体重指数和其他合并症进行调整的模型中,脊柱DXA产生的腹部脂肪比例较大与随后的糖尿病诊断密切相关。与最低(参考)的五分之一患者相比,最高五分位数的患者其后诊断为糖尿病的风险高3.56倍(95%置信区间= 2.67-4.75)。调整相同的变量(1.00,95%置信区间= 0.79–1.26)后,髋部DXA产生的脂肪不能预测随后的糖尿病。结论:有关糖尿病风险的预测信息可以通过对骨质疏松症风险评估进行的脊柱DXA扫描获得。这与将腹部脂肪与胰岛素抵抗和代谢综合症联系起来的证据是一致的。

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